Topics covered in this episode:

PEP 814 – Add frozendict built-in type
From Material for MkDocs to Zensical
Tach
Some Python Speedups in 3.15 and 3.16
Extras
Joke

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Michael #0: Black Friday is on at Talk Python

What’s on offer:
1. An AI course mini bundle (22% off)
2. 20% off our entire library via the Everything Bundle (what's that? ;) )
3. The new Talk Python in Production book (25% off)

Brian: This is peer pressure in action

20% off The Complete pytest Course bundle (use code BLACKFRIDAY) through November
- or use save50 for 50% off, your choice.
Python Testing with pytest, 2nd edition, eBook (50% off with code save50) also through November
- I would have picked 20%, but it’s a PragProg wide thing

Michael #1: PEP 814 – Add frozendict built-in type

by Victor Stinner & Donghee Na
A new public immutable type frozendict is added to the builtins module.
We expect frozendict to be safe by design, as it prevents any unintended modifications. This addition benefits not only CPython’s standard library, but also third-party maintainers who can take advantage of a reliable, immutable dictionary type.
To add to existing frozen types in Python.

Brian #2: From Material for MkDocs to Zensical

Suggested by John Hagen
A lot of people, me included, use Material for MkDocs as our MkDocs theme for both personal and professional projects, and in-house docs.
This plugin for MkDocs is now in maintenance mode
The development team is switching to working on Zensical, a static site generator to overcome some technical limitations with MkDocs. There’s a series of posts about the transition and reasoning
Material for MkDocs
- still around, but in maintenance mode
- all insider features now available to everyone
Zensical is / will be
- compatible with Material for Mkdocs, can natively read mkdocs.yml, to assist with the transition
- Open Source, MIT license
- funded by an offering for professional users: Zensical Spark

Michael #3: Tach

Keep the streak: pip deps with uv + tach
From Gerben Decker
We needed some more control over linting our dependency structure, both internal and external.
We use tach (which you covered before IIRC), but also some home built linting rules for our specific structure. These are extremely easy to build using an underused feature of ruff: "uv run ruff analyze graph --python python_exe_path .".
Example from an app I’m working on (shhhhh not yet announced!)

Brian #4: Some Python Speedups in 3.15 and 3.16

A Plan for 5-10%* Faster Free-Threaded JIT by Python 3.16
- 5% faster by 3.15 and 10% faster by 3.16
Decompression is up to 30% faster in CPython 3.15

Extras

Brian:

LeanTDD book issue tracker

Michael:

No. 4 for dependencies: Inverted dep trees from Bob Belderbos

Joke: git pull inception

Le moustique du métro londonien n'a pas évolué dans les souterrains

Les Matins de France Culture

Risques sanitaires et hybridation

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